Visual Indexing and Retrieval

The research in content-based indexing and retrieval of visual information such as images and video has become one of the most populated directions in the vast area of information technologies. Social networks such as YouTube, Facebook, FileMobile, and DailyMotion host and supply facilities for acce...

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Bibliographic Details
Main Authors: Benois-Pineau, Jenny (Author), Precioso, Frédéric (Author), Cord, Matthieu (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York, 2012.
Series:SpringerBriefs in Computer Science,
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary:The research in content-based indexing and retrieval of visual information such as images and video has become one of the most populated directions in the vast area of information technologies. Social networks such as YouTube, Facebook, FileMobile, and DailyMotion host and supply facilities for accessing a tremendous amount of professional and user generated data. The areas of societal activity, such as, video protection and security, also generate thousands and thousands of terabytes of visual content. This book presents the most recent results and important trends in visual information indexing and retrieval. It is intended for young researchers, as well as, professionals looking for an algorithmic solution to a problem.
Physical Description:VIII, 107 p. 17 illus. online resource.
ISBN:9781461435884
ISSN:2191-5768